The Role of Artificial Intelligence in Enhancing High-Frequency Trading Strategies

High-frequency trading (HFT) has become a dominant force in modern financial markets, where speed and accuracy are crucial for successful trading. With the exponential growth of data and the complexity of financial markets, the role of artificial intelligence (AI) has become increasingly important in enhancing HFT strategies. This study examines AI-based approaches such as predictive modeling, sentiment analysis, and algorithmic trading, highlighting how machine learning and natural language processing can enhance trading performance and profitability while addressing associated risks and ethical concerns.